Neural basis for the design of fractional-order perceptual filters: applications in image enhancement and coding

The focus of this paper is the emulation of the visual receptive fields from the retina to the visual cortex to extract information from images for perceptual filtering and coding. In this paper we introduce and outline a generalized family of fractional discriminant functions which emulate the biological visual receptive fields for information extraction from 2D spatial images. These functions are able to extract the transition information in the presence of noise very distinctly retaining perceptually significant details